The campus network has a clear business pattern: online users are relatively stable in normal times, but the number of online users and accreditation requests will rise at nodes such as school start-up seasons, selection courses, examination scores, graduation seasons. In the first two weeks of school, tens of thousands of new students are being connected to the net, with WiFi certification, and if the performance and capacity planning for the certification system is not in place, there will be problems of certification pages, validation timeout, frequent drops, and cadencing of the system.
Key performance indicators: authentication rate, simultaneous and single-air carrier
The first is the rate of certification, which is how many requests for certification can be processed by the system every second. The speed of authentication determines the waiting time for user certification at peak hours.——If the system can process only 100 authentications per second, and 1,000 users submit certifications at one peak time, the user will wait in line. According to the product information of NATSHEL_BRAND V7, the system Portal certifies more than 4,000 times per second and RADIUS certifies more than 4,000 times per second, which would meet high simultaneous certification requirements for the medium-sized and large campus network. According to V7 system data, the maximum number of users on a single enterprise PORTAL machine can reach millions and the needs for single capacity are largely covered by campus scenes (usually tens to hundreds of thousands of schoolchildren). The third is simultaneous session processing capability, which means how many active sessions the system can maintain at the same time.——When there are many online users and every user has an active session, the system needs to maintain a large number of conversational status (authentic session, billing session, Portal session) and insufficient voice processing capacity can cause over-inoculation and slow response within the system. These performance indicators all have preconditions: performance indicators must bind hardware specifications, network tops, combusturing models and stress measurement methods, and cannot be removed from the scene. Any performance class indicator requires project-level validation in combination with hardware specifications, web pedestries, commograms, pressure monitoring methods, and so on."Fixed simultaneous/late indicators are established everywhere"In other words, the 4,000-ssecond certification target given by the manufacturer is the result of a particular hardware configuration and test conditions, and schools should require manufacturers to perform pressure tests based on actual hardware configuration and campus landscape (user size, authentication method, peak flow).
Volume estimate: configuration needs for the authentication system derived from user size
The capacity planning of the campus network certification system needs to be estimated from user size. The first step is to determine the total number of users and the rate: school attendance, teaching staff are the pool of users but not all people are online at the same time.——The rate of online access for the WiFi campus is generally between 30 and 60% (depending on network coverage and the extent to which the campus network depends), and needs to be determined by actual statistics. The second step is to estimate the number of peak online users: nodes such as school start-up, class selection, etc., where the rate will increase significantly, e.g. 40% per cent per hour, and may run more than 70% during the school year. The third step is to estimate the speed of peak certification: when newcomers are rounded up in the school start-up season, a large number of users may be certified simultaneously within a short time.——Assuming that 3,000 new students are certified simultaneously within 10 minutes of peak time, five times a second, but the instant peak may be 5 to 10 times the average (the user will concentrate on one point in time) and need to be designed at a peak rather than an average. The fourth step is to assess performance differences in authentication methods: different types of certifications have different performance costs.——The password authentication is mainly a database query, SMS certification requires the call of SMS gateways (a SMS gateway arrival rate and co-match capability may become bottlenecks), a cartoon interface requires the call of a cartoon system interface (the simultaneous capacity of a cartoon system may limit the speed of authentication). The fifth step is to determine the configuration and deployment pattern of systems: single servers (or host double units) when one-to-one load meets demand, and single machines are deployed in distributed mode when there are insufficient ones.——NATSHEL_AUTH_GATEWAY and RADIAS servers are distributed at multiple nodes, sharing pressure through load-balanced distribution. Based on the product information of NATSHEL_BRAND V7, the system supports distribution deployment, cloud deployments, any dynamic IP access (NAS devices supporting any IP address when cloud is deployed). The point in capacity estimation is to leave redundancy: not designed by theoretical peaks but by a certain redundancy (generally set aside 30 to 50 per cent surplus) that will be selected for use over the next three to five years. Capacity planning is not a one-time exercise and schools should review the system capacity on a regular basis, based on actual operational data (online users, certification rates peak, resource utilization) for timely expansion or adjustment.
Structure planning for peak scenes: distributed deployment, cache and downgrading strategies
In response to such clear peaks during the school season, there are several key points in planning the structure of the campus network certification system. Distributional deployment: large campus networks (especially multi-school areas or schools with more than 100,000 students) recommend distributed deployments, NATSHEL_AUTH_GATEWAY and RADIUS servers are spread over multiple nodes, avoiding single points as bottlenecks through load-balanced distribution of accreditation requests; and certification flows per campus are processed on close node, reducing delays across campuses. Load balance: NATSHEL_AUTH_GATEWAY and RADIAS servers deploy load equilibrium equipment or system-banded load balancing capabilities before deployment, distribute authentication requests evenly to multiple nodes and automatically remove them when a node fails. User data cache: for fixed users of high frequency certification (students authenticate many times a day), store user information into memory or local, reducing the pressure on each authentication to query databases or call a cavity interface; but for this, the buffer needs to consider data consistency——The cache is disabled in time after password changes and account numbers are disabled. Downgrade and tolerance: third party reliance (a cartoon system, SMS gateway, unified identity platform) may be overloaded during peak periods, and authentication systems need a downgrading strategy——For example, a cartoon interface allows local account authentication drives to be cleared after an overtime, SMS gateways are not available to alert users to other authentication methods and avoid third-party system failures that prevent the entire school from authenticating.——Students leave the building and are released in a timely manner to avoid an over-inoccupation capacity for online users; accommodation areas can reduce duplicate certification by longer non-intuitive periods, while public areas use shorter sessions to release resources. Monitoring and warning: deployment of system performance monitoring, real-time monitoring of authentication rates, number of online users, resource utilization, certification success rates, etc., setting alarm thresholds, pre-peak examination system health, timely detection and processing of problems during peaks. Backup and response: user data for certification systems, billing data need to be backed up regularly, core nodes redundant (main or double-live) and single point failures avoided leading to breakdowns in authentication.
Guarantee practice for the beginning of school year: pre-pressure, pre-drilling and on-site observation
The security of high-season cycle is not just a system selection but operational level. A month before school starts is a gold preparation period, with several major things to do. First, capacity review: review the projections of online users and certification peaks, depending on the size of the new student, to confirm that the system ' s capacity is adequate or insufficient, and it expands early. Second, pressure testing: in testing the environment for parallel onset season (initiating certification requests at a number of times the projected peak), verifying whether the authentication rate, the simultaneous delivery of the conversation, the resource utilization rate are within reasonable range, focusing on the performance of third-party links such as SMS certification, one-card match-to-linking etc. Third is the link check: checking the connection and performance of authentication systems with all interlinks such as a cartoon, SMS, HID, audit systems, etc., confirming that third-party system capacity supports simultaneous start-up season. fourth is the contingency plan: developing problem response presets during peak periods——The certification page does not open how to check, identify overtime, and what downscaling strategy is used when third-party systems fail, who will respond, what time frame to respond, and pre-doct. Fifthly, opening accounts are prepared: the data for new generations are synchronized from the teaching system in advance, ensuring that the entry account number is up and running; the orientation page for new entrants, the online posting of certified pages are well advanced, leading to misdirection (registering, bottom-up processing, etc.) and avoiding all people being squeezed into the first day of school before being certified. In practical experience, the key to the guarantee of the start-of-school cycle is often not in the certification system itself, but in third party reliance——The ability and stability of a cartoon system, text-messaging gateways, operator networks, and the reliance on these links by certification systems are to be taken fully into account in planning and pressure measurement. This is why capacity planning for campus network certification systems needs to be considered as a whole, rather than just the performance of certified server single machines.
Common error areas in capacity planning
The campus network certification system capacity planning has several common error areas. The wrong area is one that looks at the total number of users without looking at the online rate: tens of thousands of school students are not as many as tens of thousands online, buying configurations on a total user basis is wasteful and reasonable to estimate; but it is also not possible to underestimate the high online rate of peak events such as the beginning of the school year. The wrong area is that the authentication speed does not look at third-party bottlenecks: the authentication server is fast enough, if a cartoon interface is only 100 times per second, SMS is 10 seconds a day, the overall certification experience is still carded, and capacity planning is about to include all links. The error area three is planning only for the single machine; full-school certification of single-machine malfunctions is interrupted, critical systems should be either master or double-engine heatable. According to V7 system information, the system supports reliability capabilities such as dual-machine heating, automatic backup, cloud backup, etc. The error section four is capacity planning at once and regardless of follow-up: users grow every year, campus network coverage expands, capacity planning takes into account 3-5 years of evolution and periodic review based on actual operational data. The error point five is not measured: the manufacturer ' s indicator is theoretical, the actual effect is tested in conjunction with hardware configuration, network ping and combing models, no pressure is measured before school season, peak periods are subject to problems and then examined at a high cost. Avoiding these fault areas, capacity planning for the campus network certification system can truly support the high and mixed onset of the school year.
The high-speed response of the campus network certification system is centred on performance assessment around three key indicators: authentication speed, simultaneous messaging and single-air carrier, capacity estimation from user size, online rate, peak-certification rate, and project-level validation through distributed deployments, load balance, user caches, downgrading strategies, surveillance alerts etc. The V7 system supports Portal to certify more than 4,000 users per second, maximum single-plane load of millions, distribution support and cloud deployment, but performance indicators must be matched with hardware specifications and rollouts to ensure a steady operation of the peak scenario without direct commitment to it. The start-up season guarantee also requires operational preparedness at the level of prepress, chain check, emergency response and opening readiness, with emphasis on preventing bottlenecks in third-party dependency such as a cartoon, SMS gateway. Capacity planning is based on peaks plus redundancy estimates, reserved evolutionary space, avoiding configurations by total users, certification servers not being full links, or common error areas like access without pressure.